Multi-agent Reinforcement Learning

The target of Multi-agent Reinforcement Learning is to solve complex problems by integrating multiple agents that focus on different sub-tasks. In general, there are two types of multi-agent systems: independent and cooperative systems.

Source: Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports

Papers

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Showing 176–200 of 1718 papers

Title	Date	Tasks	Status	Hype	Score
Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?	Nov 18, 2020	AllMulti-agent Reinforcement Learning	CodeCode Available	1	5
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control	Jan 4, 2021	Deep Reinforcement LearningMeta-Learning	CodeCode Available	1	5
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?	May 27, 2023	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
Is Machine Learning Ready for Traffic Engineering Optimization?	Sep 3, 2021	BIG-bench Machine LearningMulti-agent Reinforcement Learning	CodeCode Available	1	5
A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory Management	Jun 13, 2023	Autonomous DrivingManagement	CodeCode Available	1	5
CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning for Demand Response and Urban Energy Management	Dec 18, 2020	energy managementManagement	CodeCode Available	1	5
Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models	Jun 9, 2025	Multi-agent Reinforcement LearningSafety Alignment	CodeCode Available	1	5
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network	Oct 15, 2021	Graph LearningGraph Neural Network	CodeCode Available	1	5
Multi-Agent Constrained Policy Optimisation	Oct 6, 2021	MuJoCoMulti-agent Reinforcement Learning	CodeCode Available	1	5
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles	Apr 3, 2023	Multi-agent Reinforcement LearningStarcraft	CodeCode Available	1	5
Effective control of two-dimensional Rayleigh--Bénard convection: invariant multi-agent reinforcement learning is all you need	Apr 5, 2023	AllDeep Reinforcement Learning	CodeCode Available	1	5
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning	Jun 9, 2023	Autonomous VehiclesCollision Avoidance	CodeCode Available	1	5
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning	Oct 11, 2024	DiversityMuJoCo	CodeCode Available	1	5
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning	Nov 4, 2018	DecoderMulti-agent Reinforcement Learning	CodeCode Available	1	5
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning	Feb 15, 2021	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	1	5
Information Design in Multi-Agent Reinforcement Learning	May 8, 2023	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning	Jun 7, 2021	Multi-agent Reinforcement LearningOffline RL	CodeCode Available	1	5
Energy-based Surprise Minimization for Multi-Agent Value Factorization	Sep 16, 2020	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	1	5
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning	Jul 8, 2022	DiversityMulti-agent Reinforcement Learning	CodeCode Available	1	5
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration	May 8, 2025	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	1	5
Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search	May 19, 2022	Decision MakingImage Captioning	CodeCode Available	1	5
A multi-agent reinforcement learning model of common-pool resource appropriation	Jul 20, 2017	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	1	5
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning	May 28, 2024	Multi-agent Reinforcement LearningSMAC	CodeCode Available	1	5
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning	Mar 23, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning	Jun 4, 2021	DiversityMulti-agent Reinforcement Learning	CodeCode Available	1	5

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All datasets ParticleEnvs Cooperative Communication SMAC-Exp UAV Logistics

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	MATD3	final agent reward	-14	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DRIMA	Median Win Rate	15	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Fusion-Multi-Actor-Attention-Critic	Average Reward	39	—	Unverified